# zhihongz/awesome-low-light-image-enhancement

This is a resouce list for low light image enhancement

Repository: https://github.com/zhihongz/awesome-low-light-image-enhancement
Canonical: https://ross.abutalabs.com/products/awesome-low-light-image-enhancement
Language: MATLAB
License Family: other
Topics: low-light, image-enhancement, low-light-image-enhancement, computer-vision, image-processing, retinex, histogram-equalization, deep-learning, image-enhancment, contrast-enhancement
Last push: 2026-05-12T12:34:13+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 82, release rhythm 35, longevity 100
- inputs: {"age_days": 2292, "days_push": 113, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1846, forks 241 (observed 2026-08-28T04:05:43.440858+00:00)

## What it is
A curated awesome-list of resources for low-light image enhancement, covering datasets, papers, open-source code, and evaluation metrics. It spans classical methods like histogram equalization and Retinex as well as deep learning approaches.

## Use cases
- find datasets for low-light image enhancement research
- discover papers with code on low-light enhancement
- compare Retinex-based and histogram equalization methods
- find benchmarks and metrics for image enhancement
- research night-time image processing for surveillance or autonomous driving

## When to choose
- you are starting research on low-light image enhancement and need an overview
- you need a catalog of datasets like SID, LOL, or ExDARK
- you want to survey learning-based and classical enhancement methods

## When to avoid
- you need a ready-to-use image enhancement tool or library
- you want production image processing code rather than a reference list

## Facets
- artifact type: learning-resource
- maturity: active
- function: image-processing, computer-vision, machine-learning
- domain: computer-vision, image-processing, deep-learning, awesome-lists
- platform: cross-platform
- tags: awesome-list, low-light, image-enhancement, retinex, datasets, research-papers

## Member repositories
- zhihongz/awesome-low-light-image-enhancement (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:43.440858+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:17:53.856893+00:00, confidence not recorded.
  - readme: https://github.com/zhihongz/awesome-low-light-image-enhancement (fetched 2026-08-28T04:05:43.440858+00:00, sha e5d8e26d867c)
- Data as of 2026-08-30T08:39:29.467469+00:00.